Si Li

1.2k citations
68 papers · 864 · h-index 15

Impact in

  • Pollution top 5%
    • Microbial bioremediation and biosurfactants
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Circular RNAs in diseases 6
    • Identification and Quantification in Food 4
    • Cancer-related molecular mechanisms research 11
    • MicroRNA in disease regulation 7

Si Li

67 papers receiving 855 citations

Peers

Si Li
Comparison fields: 5 of 113
  • Pollution 158
  • Cancer Research 177
  • Molecular Medicine 55
  • Endocrinology 32
  • Molecular Biology 361
Replace Wing Hei Chan with:
Wing Hei Chan Australia
Huimin Wei China
Haizhen Wang China
Masaru Ihara Japan
Yixin Zhao China
Yulong Liu China
De-Chao Zhang China
Sagar M. Utturkar United States
Liang Shen China
Si Li relative to Wing Hei Chan Australia Wing Hei Chan's profile →
Citations per field
00.5×4.1×
Wing Hei Chan · 1×
Citations per year

Countries citing papers authored by Si Li

Since Specialization
Citations

This map shows the geographic impact of Si Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Si Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Li more than expected).

Fields of papers citing papers by Si Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Si Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Si Li. The network helps show where Si Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Si Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Si Li Line = papers co-authored together Si Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201171
2 202070
3 202168
4 202156
5 201154
6 201952
7 201750
8 201941
9 202241
10 202327
11 202224
12 202021
13 202117
14
GRASS CARP(CTENOPHARYNGODON IDELLUS) GENETIC STRUCTURE ANALYSIS AMONG NATIVE POPULATIONS IN CHINA AND INTRODUCED POPULATIONS IN USA,EUROPE AND JAPAN BASED ON MITOCHONDRIAL SEQUENCE
200915
15 201814
16 201514
17 202113
18 201511
19 201111
20 202010

About Si Li

Si Li is a scholar working on Molecular Biology, Cancer Research, Plant Science, Ecology and Pollution, having authored 68 papers that have together received 864 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (11 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers), Microbial Community Ecology and Physiology (5 papers), Microbial bioremediation and biosurfactants (4 papers), Identification and Quantification in Food (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Pollution (158 citations), Cancer Research (177 citations), Molecular Medicine (55 citations), Endocrinology (32 citations) and Molecular Biology (361 citations). Si Li has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Fangdong Zou, Xu Liu, Faqian Sun, Xiaomei Su, Zhu Liang, Yongyu Rui, Yuan Peng, Hongjun Lin, Yeyuan Xiao and Jianrong Chen. Their work appears in journals such as Journal of Clinical Oncology, The Science of The Total Environment, Environmental Pollution, Scientific Reports and Dyes and Pigments.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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